About
I am a Lecturer in Computer Science at the University of Derby and Programme Leader for the MSc Advanced Data Science and MSc Applied Data Science programmes. My teaching focuses on data science, artificial intelligence, and applied computing, with a strong emphasis on industry-relevant education, practical learning, and preparing students for careers in rapidly evolving digital sectors. As part of my programme leadership role, I am currently leading the transition of the MSc Advanced Data Science and MSc Applied Data Science programmes to the University’s block teaching delivery model, supporting curriculum redesign, programme enhancement, and student engagement.
Alongside teaching and academic leadership, I am actively engaged in research at the intersection of applied artificial intelligence, the Internet of Things (IoT), and cyber security, with a focus on designing secure, intelligent, and scalable digital systems for real-world applications. My work explores how AI-driven methods can be integrated with connected technologies to address challenges in cyber security, intelligent automation, and data-driven decision-making. I am particularly interested in translating emerging technologies into practical solutions that create meaningful impact for industry and society. I am currently involved in delivering United Kingdom Research and Innovation (UKRI)-funded collaborative research and have secured a total research funding of over £510,000 to date through competitive national and international funding schemes. I am full member of the collaborative and data-centric engineering research cluster in the Data Science Research Centre.
I also contribute to the University’s wider research governance as a full member of the College Research and Ethics Committee at the University of Derby. In this role, I review research ethics applications from doctoral researchers, postgraduate students, and academic colleagues, supporting the ethical conduct of research across the College and helping ensure that research activity meets appropriate academic and professional standards.
Teaching responsibilities
My teaching responsibilities include delivering a diverse range of computing modules across postgraduate and undergraduate programmes, with particular focus on data science, artificial intelligence, security, and applied computing. As Programme Leader for the MSc Advanced Data Science and MSc Applied Data Science programmes, I oversee programme delivery, curriculum development, student experience, and academic quality. I also supervise postgraduate research projects and support students in their academic and professional development.
Professional interests
Academic, Research, and Leadership Positions:
- Lecturer in Computer Science, University of Derby, UK. Lead teaching and research within the School of Computing, contributing to curriculum delivery and academic development.
- Programme Leader – MSc Advanced Data Science & MSc Applied Data Science, University of Derby, UK. Oversee programme design, delivery, and continuous enhancement, ensuring high-quality student experience and academic outcomes.
- Research Stream (IoT and Cyber Security), Collaborative and Data-Centric Engineering Research Cluster, University of Derby, UK. Lead the development of research in IoT and cyber security, shaping research direction and supporting collaborative projects within the research cluster.
- Full Member - College Research and Ethics Committee. Reviews research ethics applications on the College Research and Ethics Committee, supporting ethical governance and review of research.
- Research and Development Coordinator, SRM University, India. Led departmental research strategy and coordinated funded projects and academic research initiatives.
- Programme Coordinator (MCA & MTech, Computer Science and Engineering), SRM University, India. Managed postgraduate programmes, including curriculum development, academic delivery, and programme coordination.
- Junior Research Fellow / Senior Research Fellow, Delhi Technological University, India. Conducted research in Artificial Intelligence and IoT, including establishing a Computer Vision Research Lab.
Research interests
Research expertise and publications in the areas of the Internet of Things (IoT), applied artificial intelligence, and secure intelligent connected systems.
Emerging research interests also include the application of quantum computing within these domains.
Membership of professional bodies
Fellow of Advance Higher Education, UK. (Qualified in April 2023)
International experience
International research collaborations with leading academic institutions and industry, including:
- York University, Canada.
- Brunel University London, UK.
- National University of Singapore.
- University of British Columbia, Canada.
- Seinajoki Hospital, Finland.
Guest Editor:
- Advanced in Post-Quantum Security, Electronics, MDPI.
- Advanced in Post-Quantum Security, Artificial Intelligence, MDPI.
Reviewer to the following international journals.
- IEEE Access.
- IEEE Transactions on Computational Social Systems.
- Wireless Personal Communications, Springer Nature.
- Cluster Computing, Springer Nature.
- Journal of Supercomputing, Springer Nature.
Additional interests and activities
Academic Leadership, Invited Engagements, and Professional Recognition:
- Serving as Local Chair and Technical Programme Committee (TPC) Member for the 13th EAI International Conference on Cloud Computing, contributing to the organisation and academic coordination of the international conference hosted at University of Derby, UK.
- Invited as a VIP guest at the Cyber Leaders' Summit 2026, London, UK, in recognition of contributions to Artificial Intelligence, IoT and cyber security research.
- Organised the international workshop “IOCS 2025 - Applications of IoT, Ophthalmology & Cyber Security in Digital Technology” in collaboration with University of Derby, Tampere University, and Delhi Technological University.
- Delivered invited keynote speeches and served as session chair at leading international conferences, including the 9th International Congress on Information and Communication Technology, London (2023), and the International Conference on Science & Technology, London (2024).
- Invited by ESET UK, via Speakers Corner, to deliver a specialist talk on “The Art of Cyber War” (London, 2024), reflecting industry recognition of academic expertise.
Recent publications
Five Selected Journal Publications:
- Dalal, S., Lilhore, U. K., Simaiya, S., Prakash, D., Yadav, S., Kumar, K., & Kaushik, A. (2026). GenAD-SM: optimized transformer-VAE model for precision anomaly detection for smart manufacturing in industry 5.0. Journal of Intelligent Manufacturing, 1-21. (I.F – 7.4, SCIE Indexed, Q1 journal)
- Shahzad, M., Liu, L., Kaushik, A., Bibi, I., Belkout, N. E., & Hasan, M. U. (2025). Fair switch selection for large scale software defined networks in next generation internet of things. Telecommunication Systems, 88(2), 57. (I.F – 2.3, SCIE Indexed, Q2 journal)
- Kaushik, A., & Al-Raweshidy, H. (2024). A novel intrusion detection system for internet of things devices and data. Wireless Networks, 30(1), 285-294. (I.F – 2.1, SCIE Indexed, Q2 journal)
- Kaushik, A., Vadlamani, L. S. S., Hussain, M. M., Sahay, M., Singh, R., Singh, A. K., ... & Kousik, N. G. V. (2023). Post quantum public and private key cryptography optimized for IoT security. Wireless Personal Communications, 129(2), 893-909. (I.F – 2.2, SCIE Indexed, Q2 journal)
- Kaushik, A., & Al-Raweshidy, H. S. (2022). A hybrid latency-and power-aware approach for beyond fifth-generation internet-of-things edge systems. IEEE Access, 10, 87974-87989. (I.F – 3.6, SCIE Indexed, Q1 journal)
Major Research Fundings:
- Secured a competitive Knowledge Transfer Partnership (KTP) project funded by UK Research and Innovation (UKRI) with industrial collaboration, valued at £228,330 (February 2026).
- Secured a Knowledge Transfer Partnership (KTP) project funded by UK Research and Innovation (UKRI) with industrial collaboration, valued at £220,961 (February 2026).
- In 2025, secured Seedcorn Funding from the University of Derby for the project “AI-Powered Digital Assistant for Equitable Post-Stroke Rehabilitation: A Proof-of-Concept”, valued at £5,000.
- Received Seedcorn Funding of £1,200 through the Vice-Chancellor’s Research Awards at the University of Derby (2024).
- Awarded a travel grant of CHF 250 (£235) from MDPI in recognition of service as Guest Editor for a Special Issue, to attend the Cyber Leaders' Summit London 2026, London (2026).
- Awarded a competitive research grant equivalent to £16,140 as Principal Investigator by the Science and Engineering Research Board (SERB), Government of India, in 2023 for research in artificial intelligence applications in IoT.
- Awarded a competitive research grant equivalent to £18,058 as Principal Investigator by the Department of Scientific and Industrial Research (DSIR), Ministry of Science and Technology, Government of India, in 2023.
- Awarded the prestigious Junior Research Fellowship and a Senior Research Fellowship equivalent to £17,541 by the University Grants Commission, Department of Higher Education, Ministry of Education, Government of India, in 2015.
